## Get Instrument Fundamentals

`v1.instrument_data.get_instrument_fundamentals(InstrumentIDOrSymbolinstrument_id)  -> InstrumentDataGetInstrumentFundamentalsResponse`

**get** `/v1/instruments/{instrument_id}/fundamentals`

Retrieves supplemental fundamentals and company profile data for an instrument.

### Parameters

- `instrument_id: InstrumentIDOrSymbol`

  OEMS instrument UUID

### Returns

- `class InstrumentDataGetInstrumentFundamentalsResponse: …`

  - `data: InstrumentFundamentals`

    Supplemental fundamentals and company profile data for an instrument.

    - `average_volume: Optional[int]`

      The average daily trading volume over the past 30 days

    - `beta: Optional[str]`

      The beta value, measuring the instrument's volatility relative to the overall market

    - `description: Optional[str]`

      A detailed description of the instrument or company

    - `dividend_yield: Optional[str]`

      The trailing twelve months (TTM) dividend yield

    - `earnings_per_share: Optional[str]`

      The trailing twelve months (TTM) earnings per share

    - `fifty_two_week_high: Optional[str]`

      The highest price over the last 52 weeks

    - `fifty_two_week_low: Optional[str]`

      The lowest price over the last 52 weeks

    - `industry: Optional[str]`

      The specific industry of the instrument's issuer

    - `list_date: Optional[date]`

      The date the instrument was first listed

    - `logo_url: Optional[str]`

      URL to a representative logo image for the instrument or issuer

    - `market_cap: Optional[str]`

      The total market capitalization

    - `previous_close: Optional[str]`

      The closing price from the previous trading day

    - `price_to_earnings: Optional[str]`

      The price-to-earnings (P/E) ratio for the trailing twelve months (TTM)

    - `reporting_currency: Optional[str]`

      The currency used for reporting financial data

    - `sector: Optional[str]`

      The business sector of the instrument's issuer

### Example

```python
from clear_street import ClearStreet

client = ClearStreet(
    api_key="My API Key",
)
response = client.v1.instrument_data.get_instrument_fundamentals(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response)
```

#### Response

```json
{
  "data": {
    "average_volume": 76000000,
    "beta": "1.20",
    "description": "Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide.",
    "dividend_yield": "0.005",
    "earnings_per_share": "5.61",
    "fifty_two_week_high": "230.00",
    "fifty_two_week_low": "165.00",
    "industry": "Consumer Electronics",
    "list_date": "1980-12-12",
    "logo_url": "https://example.com/logos/aapl.png",
    "market_cap": "2800000000000",
    "previous_close": "210.87",
    "price_to_earnings": "30.5",
    "reporting_currency": "USD",
    "sector": "Technology"
  },
  "error": null,
  "metadata": {
    "request_id": "5b6c7d8e-9f0a-1b2c-3d4e-5f6a7b8c9d0e"
  }
}
```